scholarly journals Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting

2019 ◽  
Author(s):  
Dennis Chow ◽  
Anjin Liu ◽  
Guangquan Zhang ◽  
Jie Lu
Keyword(s):  
Knowledge Graph ◽  
Price Forecasting ◽  
Fuel Price

Fuel Price Forecasting Combining Wavelet Neural Network and Adaptive Differential Evolution

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Claudimar Pereira Da Veiga ◽  
Leandro Dos Santos Coelho ◽  
Welsey Vieira ◽  
Carlos Eduardo Klein ◽  
Viviana Mariani
Keyword(s):  
Neural Network ◽  
Differential Evolution ◽  
Wavelet Neural Network ◽  
Price Forecasting ◽  
Fuel Price ◽  
Adaptive Differential Evolution

Fuel price forecasting combining wavelet neural network and adaptive differential evolution

2020 ◽  
Vol 6 (3) ◽  
pp. 167
Author(s):  
Carlos Eduardo Klein ◽  
Wesley Vieira Da Silva ◽  
Claudimar Pereira Da Veiga ◽  
Viviana Cocco Mariani ◽  
Leandro Dos Santos Coelho
Keyword(s):  
Neural Network ◽  
Differential Evolution ◽  
Wavelet Neural Network ◽  
Price Forecasting ◽  
Fuel Price ◽  
Adaptive Differential Evolution

Application of Box-Behnken Analysis on the Optimisation of Air Intake System for a Naturally Aspirated Engine

2020 ◽  
Vol 17 (2) ◽  
pp. 8029-8042
Author(s):  
N.S. Mustafa ◽  
N.H.A. Ngadiman ◽  
M.A. Abas ◽  
M.Y. Noordin
Keyword(s):  
Fuel Consumption ◽  
Fuel Efficiency ◽  
Engine Performance ◽  
Fuel Price ◽  
Design Expert ◽  
Intake System ◽  
Analysis Technique ◽  
System Components ◽  
Air Intake ◽  
High Influence

Fuel price crisis has caused people to demand a car that is having a low fuel consumption without compromising the engine performance. Designing a naturally aspirated engine which can enhance engine performance and fuel efficiency requires optimisation processes on air intake system components. Hence, this study intends to carry out the optimisation process on the air intake system and airbox geometry. The parameters that have high influence on the design of an airbox geometry was determined by using AVL Boost software which simulated the automobile engine. The optimisation of the parameters was done by using Design Expert which adopted the Box-Behnken analysis technique. The result that was obtained from the study are optimised diameter of inlet/snorkel, volume of airbox, diameter of throttle body and length of intake runner are 81.07 mm, 1.04 L, 44.63 mm and 425 mm, respectively. By using these parameters values, the maximum engine performance and minimum fuel consumption are 93.3732 Nm and 21.3695×10-4 kg/s, respectively. This study has fully accomplished its aim to determine the significant parameters that influenced the performance of airbox and optimised the parameters so that a high engine performance and fuel efficiency can be produced. The success of this study can contribute to a better design of an airbox.

STUDI PENENTUAN KOMPOSISI OPTIMUM CAMPURAN BAHAN BAKAR BIODIESEL–PETRODIESEL

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Soni S. Wirawan dkk
Keyword(s):  
Carbon Monoxide ◽  
Particulate Matter ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Diesel Fuel ◽  
Cetane Number ◽  
Price Policy ◽  
Oxides Of Nitrogen ◽  
Fuel Price ◽  
Biodiesel Blend

Biodiesel is a viable substitute for petroleum-based diesel fuel. Its advantages are improved lubricity, higher cetane number and cleaner emission. Biodiesel and its blends with petroleum-based diesel fuel can be used in diesel engines without any signifi cant modifi cations to the engines. Data from the numerous research reports and test programs showed that as the percent of biodiesel in blends increases, emission of hydrocarbons (HC), carbon monoxide (CO), and particulate matter (PM) all decrease, but the amount of oxides of nitrogen (NOx) and fuel consumption is tend to increase. The most signifi cant hurdle for broader commercialization of biodiesel is its cost. In current fuel price policy in Indonesia (especially fuel for transportation), the higher percent of biodiesel in blend will increase the price of blends fuel. The objective of this study is to assess the optimum blends of biodiesel with petroleum-based diesel fuel from the technically and economically consideration. The study result recommends that 20% biodiesel blend with 80% petroleum-based diesel fuel (B20) is the optimum blend for unmodifi ed diesel engine uses.Keywords: biodiesel, emission, optimum, blend

Mobile Software Assurance Informed through Knowledge Graph Construction: The OWASP Threat of Insecure Data Storage

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Suzanna Schmeelk ◽  
Lixin Tao
Keyword(s):  
Data Storage ◽  
Program Analysis ◽  
Web Application ◽  
Security Analysis ◽  
Knowledge Graph ◽  
Healthcare Applications ◽  
Sensitive Data ◽  
Knowledge Graphs ◽  
Mobile Malware Detection ◽  
Software Assurance

Many organizations, to save costs, are movinheg to t Bring Your Own Mobile Device (BYOD) model and adopting applications built by third-parties at an unprecedented rate.  Our research examines software assurance methodologies specifically focusing on security analysis coverage of the program analysis for mobile malware detection, mitigation, and prevention.  This research focuses on secure software development of Android applications by developing knowledge graphs for threats reported by the Open Web Application Security Project (OWASP).  OWASP maintains lists of the top ten security threats to web and mobile applications.  We develop knowledge graphs based on the two most recent top ten threat years and show how the knowledge graph relationships can be discovered in mobile application source code.  We analyze 200+ healthcare applications from GitHub to gain an understanding of their software assurance of their developed software for one of the OWASP top ten moble threats, the threat of “Insecure Data Storage.”  We find that many of the applications are storing personally identifying information (PII) in potentially vulnerable places leaving users exposed to higher risks for the loss of their sensitive data.

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